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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'order', 'response', 'ID', 'medicine_name', 'true_ingredients', 'model'}) and 5 missing columns ({'answer', 'id', 'ingredients', 'type', 'name'}).
This happened while the json dataset builder was generating data using
hf://datasets/med-llm/tcm-llm-overrely-on-names/data/direct/instance_bc2_5_instruct_results.json (at revision bf34d138a45867fe663cf48f361d141658d82252)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
model: string
order: int64
ID: int64
medicine_name: string
response: string
true_ingredients: list<item: string>
child 0, item: string
to
{'id': Value(dtype='int64', id=None), 'name': Value(dtype='string', id=None), 'type': Value(dtype='int64', id=None), 'answer': Value(dtype='int64', id=None), 'ingredients': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 6 new columns ({'order', 'response', 'ID', 'medicine_name', 'true_ingredients', 'model'}) and 5 missing columns ({'answer', 'id', 'ingredients', 'type', 'name'}).
This happened while the json dataset builder was generating data using
hf://datasets/med-llm/tcm-llm-overrely-on-names/data/direct/instance_bc2_5_instruct_results.json (at revision bf34d138a45867fe663cf48f361d141658d82252)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id
int64 | name
string | type
int64 | answer
int64 | ingredients
sequence |
|---|---|---|---|---|
0 | 障眼明片 | 0 | 1 | [
"石菖蒲",
"决明子",
"肉苁蓉",
"葛根",
"青葙子",
"党参",
"蔓荆子",
"枸杞子",
"车前子",
"白芍",
"山茱萸",
"甘草",
"菟丝子",
"升麻",
"蕤仁",
"菊花",
"密蒙花",
"川芎",
"黄精",
"熟地黄",
"关黄柏",
"黄芪"
] |
1 | 加味左金丸 | 0 | 1 | [
"黄连",
"吴茱萸",
"黄芩",
"柴胡",
"木香",
"香附",
"郁金",
"白芍",
"青皮",
"枳壳",
"陈皮",
"延胡索",
"当归",
"甘草"
] |
2 | 十三味榜嘎散 | 0 | 1 | [
"榜嘎",
"波棱瓜子",
"麻花",
"秦艽花",
"迭达",
"直立紫堇",
"苦菜",
"洪连三棵针皮",
"柴胡草",
"甘青青蓝",
"五灵脂膏",
"细叶白前子",
"红景天"
] |
3 | 午时茶胶囊 | 0 | 1 | [
"苍术",
"柴胡",
"羌活",
"防风",
"白芷",
"川芎",
"广藿香",
"前胡",
"连翘",
"陈皮",
"山楂",
"枳实",
"麦芽(炒)",
"甘草",
"桔梗",
"六神曲(炒)",
"紫苏叶",
"厚朴",
"红茶"
] |
4 | 抗骨增生胶囊 | 0 | 1 | [
"熟地黄",
"鸡血藤",
"肉苁蓉",
"莱菔子(炒)",
"狗脊",
"骨碎补",
"女贞子",
"牛膝",
"淫羊藿"
] |
5 | 平肝舒络丸 | 0 | 1 | [
"柴胡",
"青皮(醋炙)",
"陈皮",
"佛手",
"乌药",
"香附(醋炙)"
] |
6 | 七厘散 | 0 | 1 | [
"血竭",
"乳香(制)",
"没药",
"红花",
"冰片",
"麝香",
"儿茶",
"朱砂"
] |
7 | 消痔软膏 | 0 | 1 | [
"熊胆粉",
"地榆",
"冰片"
] |
8 | 养阴生血合剂 | 0 | 1 | [
"地黄",
"黄芪",
"当归",
"玄参",
"麦冬",
"石斛",
"川芎"
] |
9 | 黄连上清胶囊 | 0 | 1 | [
"黄连",
"栀子",
"连翘",
"白芷",
"薄荷",
"川芎",
"石膏",
"黄芩",
"黄柏",
"大黄",
"菊花",
"旋复花",
"荆芥穗",
"防风",
"桔梗",
"炒蔓荆子",
"甘草"
] |
10 | 乳康颗粒 | 0 | 1 | [
"黄芪",
"丹参",
"夏枯草",
"海藻",
"牡蛎",
"瓜蒌",
"玄参",
"三棱",
"莪术",
"没药",
"乳香",
"浙贝母"
] |
11 | 安神宝颗粒 | 0 | 1 | [
"酸枣仁",
"枸杞子",
"合欢花"
] |
12 | 安神宝颗粒 | 0 | 1 | [
"酸枣仁",
"枸杞子",
"合欢花"
] |
13 | 女珍颗粒 | 0 | 1 | [
"女贞子",
"墨旱莲",
"地黄",
"紫草",
"酸枣仁",
"柏子仁",
"钩藤",
"珍珠粉",
"茯苓",
"莲子心"
] |
14 | 消栓通络颗粒 | 0 | 1 | [
"川芎",
"丹参",
"黄芪",
"泽泻",
"三七",
"槐花",
"桂枝",
"郁金",
"木香",
"冰片",
"山楂"
] |
15 | 滋肾健脑颗粒 | 0 | 1 | [
"龟甲",
"鹿角",
"楮实子",
"枸杞子",
"人参",
"茯苓"
] |
16 | 四君子丸 | 0 | 1 | [
"党参",
"炙甘草",
"茯苓",
"炒白术"
] |
17 | 伸筋丹胶囊 | 0 | 1 | [
"地龙",
"制马钱子",
"红花",
"乳香",
"防己",
"没药",
"香加皮",
"烫骨碎补"
] |
18 | 肠炎宁胶囊 | 0 | 1 | [
"地锦草",
"黄毛耳草",
"樟树根",
"香薷",
"枫树叶"
] |
19 | 双丹口服液 | 0 | 1 | [
"丹参",
"牡丹皮"
] |
20 | 积雪苷片 | 0 | 1 | [
"积雪草苷",
"三七",
"丹参",
"当归",
"白芍"
] |
21 | 乌鸡白凤颗粒 | 0 | 1 | [
"乌鸡",
"艾叶",
"牛膝",
"柴胡",
"干姜",
"白芍",
"牡丹皮",
"香附",
"延胡索",
"知丹",
"茯苓",
"黄连",
"秦芄",
"当归",
"黄芪",
"青蒿",
"地黄",
"熟地黄",
"川贝母",
"地骨皮"
] |
22 | 健脑安神片 | 0 | 1 | [
"枸杞",
"茯苓",
"红参",
"龟甲",
"熟地黄",
"黄精",
"大枣"
] |
23 | 健脑安神片 | 0 | 1 | [
"酒黄精",
"淫羊藿",
"枸杞子",
"鹿茸",
"鹿角霜",
"红参",
"大枣",
"茯苓",
"麦冬",
"龟甲",
"炒酸枣仁",
"南五味子",
"制远志",
"熟地黄",
"苍耳子"
] |
24 | 百合固金口服液 | 0 | 1 | [
"白芍",
"百合",
"川贝母",
"当归",
"地黄",
"甘草",
"桔梗",
"麦冬",
"熟地黄",
"玄参"
] |
25 | 保和片 | 0 | 1 | [
"山楂",
"六神曲",
"半夏",
"茯苓",
"连翘",
"莱菔子",
"麦芽"
] |
26 | 舒肝和胃丸 | 0 | 1 | [
"香附（醋制）",
"白芍",
"佛手",
"木香",
"郁金",
"白术（炒）",
"陈皮",
"柴胡",
"广藿香",
"炙甘草",
"莱菔子",
"槟榔（炒焦）",
"乌药"
] |
27 | 湿毒清片 | 0 | 1 | [
"地黄",
"当归",
"丹参",
"苦参",
"蝉蜕",
"黄芩",
"白鲜皮",
"土茯苓",
"甘草"
] |
28 | 保心片 | 0 | 1 | [
"三七",
"丹参",
"川芎",
"山楂",
"制何首乌",
"何首乌"
] |
29 | 逍遥颗粒 | 0 | 1 | [
"柴胡",
"当归",
"白芍",
"炒白术",
"茯苓",
"炙甘草",
"薄荷",
"生姜"
] |
30 | 保妇康栓 | 0 | 1 | [
"莪术油",
"冰片"
] |
31 | 保妇康栓 | 0 | 1 | [
"莪术油",
"冰片",
"薄荷油",
"丁香油",
"肉桂油"
] |
32 | 抗骨增生丸 | 0 | 1 | [
"熟地黄",
"酒肉苁蓉",
"狗脊（盐制）",
"女贞子（盐制）",
"淫羊藿",
"鸡血藤",
"炒莱菔子",
"骨碎补",
"牛膝"
] |
33 | 川芎茶调丸 | 0 | 1 | [
"川芎",
"白芷",
"羌活",
"细辛",
"防风",
"荆芥",
"薄荷",
"甘草"
] |
34 | 参芪十一味颗粒 | 0 | 1 | [
"人参（去芦）",
"黄芪",
"当归",
"天麻",
"熟地黄",
"泽泻",
"决明子",
"鹿角",
"菟丝子",
"细辛",
"枸杞子"
] |
35 | 痛经宝颗粒 | 0 | 1 | [
"红花",
"当归",
"肉桂",
"三棱",
"莪术",
"丹参",
"五灵脂",
"木香",
"延胡索（醋制）"
] |
36 | 橘红胶囊 | 0 | 1 | [
"橘红",
"陈皮",
"法半夏",
"茯苓",
"甘草",
"桔梗",
"苦杏仁",
"炒紫苏子",
"紫菀",
"款冬花",
"瓜蒌皮",
"浙贝母",
"地黄",
"麦冬",
"石膏"
] |
37 | 舒康贴膏 | 0 | 1 | [
"山楂核精"
] |
38 | 清火栀麦胶囊 | 0 | 1 | [
"穿心莲",
"栀子",
"麦冬"
] |
39 | 清火栀麦片 | 0 | 1 | [
"穿心莲",
"栀子",
"麦冬"
] |
40 | 驴胶补血颗粒 | 0 | 1 | [
"阿胶",
"黄芪",
"党参",
"熟地黄",
"白术",
"当归"
] |
41 | 复方丹参片 | 0 | 1 | [
"丹参",
"三七",
"冰片"
] |
42 | 清火栀麦丸 | 0 | 1 | [
"穿心莲",
"栀子",
"麦冬"
] |
43 | 骨质宁搽剂 | 0 | 1 | [
"云母石",
"黄连",
"枯矾"
] |
44 | 逍遥胶囊 | 0 | 1 | [
"柴胡",
"当归",
"白芍",
"炒白术",
"茯苓",
"炙甘草",
"薄荷",
"生姜"
] |
45 | 逍遥丸 | 0 | 1 | [
"柴胡",
"当归",
"白芍",
"炒白术",
"茯苓",
"炙甘草",
"薄荷",
"生姜"
] |
46 | 九香止痛丸 | 0 | 1 | [
"川木香",
"木香",
"沉香",
"降香",
"小茴香（盐水炙）",
"八角茴香",
"丁香",
"乳香（炒）",
"广藿香"
] |
47 | 克伤痛搽剂 | 0 | 1 | [
"川芎",
"当归",
"丁香",
"红花",
"生姜",
"松节油",
"樟脑"
] |
48 | 抗感解毒口服液 | 0 | 1 | [
"葛根",
"白芷",
"金银花",
"菊花",
"连翘",
"黄芩",
"栀子",
"板蓝根",
"大青叶",
"茵陈",
"贯众"
] |
49 | 抗病毒口服液 | 0 | 1 | [
"板蓝根",
"石膏",
"芦根",
"生地黄",
"郁金",
"知母",
"石菖蒲",
"广藿香",
"连翘",
"蜂蜜",
"蔗糖",
"纯化水"
] |
50 | 金莲花颗粒 | 0 | 1 | [
"金莲花"
] |
51 | 西瓜霜 | 0 | 1 | [
"西瓜",
"芒硝"
] |
52 | 清开灵胶囊 | 0 | 1 | [
"胆酸",
"珍珠母",
"猪去氧胆酸",
"栀子",
"水牛角",
"板蓝根",
"黄芩苷",
"金银花"
] |
53 | 强力枇杷膏（蜜炼） | 0 | 1 | [
"枇杷叶",
"罂粟壳",
"百部",
"白前",
"桑白皮",
"桔梗",
"薄荷脑",
"炼蜜",
"饴糖",
"枸椽酸",
"香精",
"苯甲酸钠"
] |
54 | 龙泽熊胆胶囊 | 0 | 1 | [
"龙胆",
"盐泽泻",
"地黄",
"当归",
"栀子",
"菊花",
"盐车前子",
"决明子",
"柴胡",
"防风",
"黄芩",
"木贼",
"黄连",
"薄荷脑",
"大黄",
"冰片",
"熊胆粉"
] |
55 | 熊胆胶囊 | 0 | 1 | [
"熊胆",
"龙胆草",
"黄连粉",
"大黄",
"黄芩",
"决明子",
"菊花",
"地黄",
"栀子",
"木贼",
"冰片"
] |
56 | 山玫胶囊 | 0 | 1 | [
"山楂叶",
"刺玫果"
] |
57 | 山玫胶囊 | 0 | 1 | [
"山楂叶",
"刺玫果"
] |
58 | 清开灵软胶囊 | 0 | 1 | [
"胆酸",
"珍珠母",
"猪去氧胆酸",
"栀子",
"水牛角",
"板蓝根",
"黄芩苷",
"金银花"
] |
59 | 固肾定喘丸 | 0 | 1 | [
"熟地黄",
"附片(黑顺片)",
"牡丹皮",
"牛膝",
"盐补骨脂",
"砂仁",
"车前子",
"茯苓",
"盐益智仁",
"肉桂",
"山药",
"泽泻",
"金樱子肉"
] |
60 | 五子衍宗片 | 0 | 1 | [
"枸杞子",
"菟丝子(炒)",
"覆盆子",
"五味子(蒸)",
"车前子(盐水炙)"
] |
61 | 通宣理肺片 | 0 | 1 | [
"紫苏叶",
"前胡",
"桔梗",
"苦杏仁",
"麻黄",
"甘草",
"陈皮",
"半夏",
"茯苓",
"枳壳(炒)",
"黄芩"
] |
62 | 三七伤药胶囊 | 0 | 1 | [
"三七",
"草乌（蒸）",
"雪上一枝蒿",
"接骨木",
"骨碎补",
"红花",
"赤芍",
"冰片"
] |
63 | 小儿感冒口服液 | 0 | 1 | [
"广藿香",
"菊花",
"连翘",
"大青叶",
"板蓝根",
"地黄",
"地骨皮",
"白薇",
"薄荷",
"石膏"
] |
64 | 乌军治胆片 | 0 | 1 | [
"乌梅",
"大黄",
"佛手",
"枳实",
"牛至",
"栀子",
"甘草",
"槟榔",
"威灵仙",
"姜黄"
] |
65 | 小儿化毒散 | 0 | 1 | [
"人工牛黄",
"珍珠",
"雄黄",
"大黄",
"黄连",
"天花粉",
"川贝母",
"赤芍",
"乳香(制)",
"没药(制)",
"冰片",
"甘草"
] |
66 | 桑菊感冒丸 | 0 | 1 | [
"桑叶",
"菊花",
"连翘",
"芦根",
"桔梗",
"甘草",
"苦杏仁",
"薄荷油"
] |
67 | 阿魏化痞膏 | 0 | 1 | [
"生川乌",
"生草乌",
"三棱",
"莪术",
"当归",
"巴豆",
"大黄",
"穿山甲",
"红大戟",
"生半夏",
"桃仁",
"赤芍",
"青皮",
"礞石(研)",
"郁金",
"阿魏(研)",
"黄丹"
] |
68 | 五味麝香丸 | 0 | 1 | [
"麝香",
"诃子(去核)",
"黑草乌",
"木香",
"藏菖蒲"
] |
69 | 益气聪明丸 | 0 | 1 | [
"升麻",
"葛根",
"黄柏（炒）",
"白芍",
"蔓荆子",
"党参",
"黄芪",
"炙甘草"
] |
70 | 外伤如意膏 | 0 | 1 | [
"紫草",
"地榆",
"栀子",
"大黄",
"黄芩",
"黄柏",
"冰片"
] |
71 | 舒心口服液 | 0 | 1 | [
"党参",
"黄芪",
"红花",
"当归",
"川芎",
"三棱",
"蒲黄"
] |
72 | 复方益母草胶囊 | 0 | 1 | [
"益母草",
"熟地黄",
"当归"
] |
73 | 复方益母草膏 | 0 | 1 | [
"益母草",
"当归",
"川芎",
"白芍",
"地黄",
"木香",
"蜂蜜"
] |
74 | 灵泽片 | 0 | 1 | [
"乌灵菌粉",
"莪术",
"浙贝母",
"泽泻"
] |
75 | 复方大青叶合剂 | 0 | 1 | [
"大青叶",
"山银花",
"羌活",
"拳参",
"大黄"
] |
76 | 护肝胶囊 | 0 | 1 | [
"柴胡",
"五味子",
"茵陈",
"板蓝根",
"猪胆粉",
"绿豆"
] |
77 | 天菊脑安胶囊 | 0 | 1 | [
"川芎",
"天麻",
"菊花",
"蔓荆子",
"藁本",
"白芍",
"丹参",
"墨旱莲",
"女贞子",
"牛膝"
] |
78 | 参芪五味子胶囊 | 0 | 1 | [
"五味子",
"黄芪",
"党参",
"酸枣仁（炒）"
] |
79 | 斑秃丸 | 0 | 1 | [
"地黄",
"熟地黄",
"制何首乌",
"当归",
"丹参",
"炒白芍",
"五味子",
"羌活",
"木瓜"
] |
80 | 夏桑菊颗粒 | 0 | 1 | [
"夏枯草",
"野菊花",
"桑叶",
"蔗糖"
] |
81 | 蒲地蓝消炎口服液 | 0 | 1 | [
"蒲公英",
"苦地丁",
"板蓝根",
"黄芩"
] |
82 | 清淋颗粒 | 0 | 1 | [
"瞿麦",
"萹蓄",
"木通",
"车前子（盐炒）",
"滑石",
"栀子",
"大黄",
"炙甘草"
] |
83 | 正金油软膏 | 0 | 1 | [
"薄荷脑",
"薄荷油",
"樟脑",
"樟油",
"桉油",
"丁香罗勒油"
] |
84 | 十六味冬青丸 | 0 | 1 | [
"冬青叶",
"石榴",
"石膏",
"肉桂",
"豆蔻",
"木香",
"丁香",
"甘草",
"白葡萄干",
"沉香",
"拳参",
"荜茇",
"肉豆蔻",
"红花",
"广枣",
"方海"
] |
85 | 甜梦口服液（甜梦合剂） | 0 | 1 | [
"刺五加",
"黄精",
"蚕蛾",
"桑椹",
"党参",
"黄芪",
"砂仁",
"枸杞子",
"山楂",
"熟地黄",
"淫羊藿（制）",
"陈皮",
"茯苓",
"马钱子（制）",
"法半夏",
"泽泻",
"山药"
] |
86 | 固本统血颗粒 | 0 | 1 | [
"锁阳",
"菟丝子",
"肉桂",
"巴戟天",
"黄芪",
"山药",
"附子",
"枸杞子",
"党参",
"淫羊藿"
] |
87 | 牛黄清心丸 | 0 | 1 | [
"白芍药",
"麦门冬",
"黄芩",
"当归",
"防风",
"白术",
"柴胡",
"桔梗",
"川芎",
"白茯苓",
"杏仁",
"神曲",
"蒲黄",
"人参",
"羚羊角",
"麝香",
"龙脑",
"肉桂",
"大豆黄卷",
"阿胶",
"白蔹",
"干姜",
"牛黄",
"犀角",
"雄黄",
"干山药",
"甘草",
"金箔",
"大枣"
] |
88 | 复方珍珠口疮颗粒 | 0 | 1 | [
"珍珠",
"五倍子",
"苍术",
"甘草",
"糊精"
] |
89 | 妇康宁片 | 0 | 1 | [
"白芍",
"益母草",
"当归",
"香附",
"三七",
"党参",
"麦冬",
"艾叶(炭)"
] |
90 | 芩连片 | 0 | 1 | [
"黄芩",
"连翘",
"黄连",
"黄柏",
"赤芍",
"甘草"
] |
91 | 参苓白术散 | 0 | 1 | [
"白扁豆",
"白术",
"茯苓",
"甘草",
"桔梗",
"莲子",
"人参",
"砂仁",
"山药",
"薏苡仁"
] |
92 | 白带丸 | 0 | 1 | [
"黄柏（酒炒）",
"椿皮",
"白芍",
"当归",
"醋香附"
] |
93 | 和胃止泻胶囊 | 0 | 1 | [
"盐酸小檗碱",
"拳参"
] |
94 | 芩暴红止咳片 | 0 | 1 | [
"满山红",
"暴马子皮",
"黄芩"
] |
95 | 复方夏枯草膏 | 0 | 1 | [
"夏枯草",
"香附",
"甘草",
"僵蚕",
"白芍",
"当归",
"陈皮",
"桔梗",
"川芎",
"红花",
"昆布(漂)",
"浙贝母",
"玄参",
"乌药"
] |
96 | 健民咽喉片 | 0 | 1 | [
"玄参",
"麦冬",
"蝉蜕",
"诃子",
"桔梗",
"板蓝根",
"胖大海",
"地黄",
"西青果",
"甘草",
"薄荷素油",
"薄荷脑"
] |
97 | 养血清脑颗粒 | 0 | 1 | [
"当归",
"川芎",
"白芍",
"熟地黄",
"钩藤",
"鸡血藤",
"夏枯草",
"决明子",
"珍珠母",
"延胡索",
"细辛",
"糊精",
"甜菊素"
] |
98 | 复方丹参喷雾剂 | 0 | 1 | [
"丹参",
"三七",
"冰片"
] |
99 | 藤丹胶囊 | 0 | 1 | [
"钩藤",
"夏枯草",
"猪胆膏",
"桑寄生",
"丹参",
"车前子",
"川芎",
"三七",
"防己",
"黄芪"
] |
End of preview.
This is a the dataset used for the tests and experiments in the paper Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs.
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